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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17856
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    Explanations

    mentions of the name "Nettie" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    words containing the substring "ett."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.80
    EStreamFrame
    -0.76
    ĺħ
    -0.71
    ħĭ
    -0.69
    saf
    -0.67
    lda
    -0.66
    trap
    -0.65
     lapse
    -0.64
    £
    -0.63
     psychiat
    -0.63
    POSITIVE LOGITS
    lements
    0.93
    ucc
    0.92
    iquette
    0.92
    erer
    0.91
    erers
    0.87
    uce
    0.86
    alion
    0.84
    sburgh
    0.83
    uces
    0.82
    hew
    0.81
    Activations Density 0.052%

    No Known Activations